Summary
Jason Feng is a Senior Engineer based in Sydney with 10+ years building data and machine learning solutions across AWS, Azure and on-prem Hadoop ecosystems. He combines hands-on ETL, big data (Spark, Impala, CDH) and RDBMS expertise with production ML know-how, backed by a Master of Data Science (Distinction) from the University of Sydney and Andrew Ng’s Deep Learning specialization. At organizations including Westpac, Optus and Kordia he has delivered high-impact analytics systems that improved operational efficiency and network performance, routinely handling large-scale time-series and log data. He holds cloud credentials in AWS Data Analytics and Google Cloud Professional Data Engineering, and is skilled at turning messy operational data into actionable models and visualisations. Notably, his background spans both deep telecom network analytics and modern cloud-native data platforms, giving him a rare perspective on bridging legacy OSS data with contemporary ML workflows. He’s a pragmatic, results-driven collaborator who excels at shipping reliable, production-ready data solutions.
10 years of coding experience
20 years of employment as a software developer
The University of Sydney
Bachelor, Computer Science, Bachelor, Computer Science at Sun Yat-sen University
English, Chinese, Chinese